Published on
April 15, 2025
by
QuillBot
Revised on
November 6, 2025
Ever noticed how text written by AI tools like ChatGPT, Perplexity, or Gemini has a certain “robotic” quality to it? Laden with words like “leverage,” “dive into,” and “utilize,” AI-generated texts can be a good first draft to help you defeat the terror of the blank page (or screen). But whether you’re writing posts for a rock climbing social media page or drafting an e-book on investment advice, your human touch is necessary for your text to stand out and reach the hearts and minds of your target audience.
In this post, we’ll show you how to humanize AI so that your writing stands out from the crowd.
Published on
April 10, 2025
by
QuillBot
Revised on
November 6, 2025
Whether you’re brainstorming ideas about your next social media post, writing product descriptions for your online store, or looking for a quick way to summarize a long report, you’ve likely turned to generative AI tools like QuillBot’s AI Chat, ChatGPT, Claude, or DeepSeek.
These tools are great for saving time and effort, but their outputs can sometimes feel overly stiff and impersonal. To make the most of these tools and produce truly engaging content, it’s essential to know how to refine AI-generated text, which you can do manually or with the help of an AI humanizer.
Published on
April 2, 2025
by
QuillBot
Revised on
October 28, 2025
If you’re using AI-generated text as part of your writing process, you’ll know that the output usually needs a bit of editing to ensure it’s accurate, engaging, and stylistically appropriate.
Knowing how to rewrite AI-generated text is about understanding where the AI typically needs some human input and being able to efficiently implement the necessary changes.
To rewrite AI-generated text, you’ll need to:
Check the content carefully
Review the terminology and phrasing
Break up any unnatural repetitive patterns
Proofread your edits
You can also use an AI Humanizer, like QuillBot’s to humanize AI text. Read on for more specific tips and tricks.
Published on
April 2, 2025
by
QuillBot
Revised on
November 6, 2025
If you’re using AI as a co-creator to help you produce written content, you’ll know what a valuable tool it can be in terms of creativity and efficiency. You’ll also know that humanizing the AI output is an important step in the process of creating natural-sounding texts that connect with your audience.
Making AI-generated text sound more human is about understanding why it can sometimes come across as a bit robotic and developing the editing skills to efficiently shape it into something more authentic. You can use an AI humanizer to make this task easy.
Published on
March 27, 2025
by
Kate Santoro, BS
Revised on
October 28, 2025
A chatbot is a computer program designed to simulate human conversation. Chatbots serve a variety of functions in society, allowing humans to interact with digital devices as if they were people. Many—but not all—are powered by artificial intelligence.
QuillBot’s AI Chat is a chatbot that can generate content, synthesize information, and help break down complex topics.
What is a chatbot exampleYou are communicating with a chatbot if you:
Use ChatGPT to get information or generate content
Ask Siri or Alexa to tell you the weather or search for something online
Call a customer service number and tell an automated system why you’re calling so that it can direct you to the correct department
Published on
January 23, 2025
by
Kate Santoro, BS
Revised on
November 28, 2025
Artificial intelligence (AI) is any computer program designed to mimic human intelligence, which enables them to learn, problem-solve, and understand language.
There are diverse types of AI applied across various industries. Delivery drones, medical detection scanners, QuillBot’s AI Chat, and the virtual assistant on your smartphone are all AIs.
Published on
December 19, 2024
by
QuillBot
Revised on
November 28, 2025
In a recent IBM video about AI ethics, Phaedra Boinodiris, a global leader in ethical AI and author of AI for the Rest of Us, said that three AI-related ethical issues keep her up at night:
Climate change
A lack of awareness that AI-based “decisions” impact people’s real lives
The misconception that AI is logically, morally, and ethically infallible
Generative AI has only been around for a few years, and it’s profoundly changed professional workflows, student writing, hiring practices, and eligibility for anything from mortgages to college admissions. The technology can also lead to adverse effects, such as culture and gender biases, privacy violations, and misinformation.
Using generative AI responsibly involves understanding the risks and AI ethics.
Published on
December 9, 2024
by
Nicole Routh, M.Ed
Revised on
November 28, 2025
Since ChatGPT was released in 2022, generative AI has become ubiquitous. It’s an integral part of the Google search experience, and it’s embedded in most of the tools that students and professionals use every day.
Now that generative AI is literally everywhere, understanding how it works is a crucial part of digital literacy, critical thinking, and academic integrity.
Generative AI is an artificial intelligence technology that generates original media, such as text, images, or videos. To generate this media, generative AI tools (e.g., QuillBot’s AI Chat, ChatGPT, Gemini, or Davinci AI) need prompts from human users. For example, you can prompt generative AI tools to draft a cover letter, or you can ask AI questions.
TipThe results you get from generative AI depend heavily on the prompt you give it. Not sure how to write an effective one? Use QuillBot’s free prompt generator to create an effective prompt for AI.
Published on
November 28, 2024
by
Kate Santoro, BS
Revised on
November 28, 2025
AI is getting better and better at writing texts that mimic humans. This means it’s becoming increasingly important to understand how to detect AI writing and know when content was written by a human.
There are strategies that can help detect AI writing, including:
Published on
November 27, 2024
by
Kate Santoro, BS
Revised on
November 28, 2025
AI detectors analyze text for patterns that commonly appear in AI-generated content. They use machine learning models trained on large datasets of human-written and AI-generated text to identify subtle linguistic and structural variations. Sentence structure, predictability (perplexity), and the usage of specific words or phrases are important factors.
These tools are becoming increasingly popular, as people want to know when AI has been used in the writing they work with. However, just because AI detectors are popular doesn’t mean they are always reliable. Therefore, it’s important to understand how AI detectors work, so as to better understand the results they give us.
